Selected article for: "ANOVA analysis and mean attitude score"

Author: Muhammad Saqlain; Muhammad Muddasir Munir; Saif Ur Rehman; Aqsa Gulzar; Sahar Naz; Zaheer Ahmed; Azhar Hussain Tahir; Muhammad Mashhood
Title: Knowledge, attitude, practice and perceived barriers among healthcare professionals regarding COVID-19: A Cross-sectional survey from Pakistan
  • Document date: 2020_4_17
  • ID: 7rvv2kzk_23
    Snippet: Numerical variables were measured as mean and standard deviations while categorical variables were expressed as frequencies and percentages. Inferential statistics were applied depending upon nature of data and variables. Chi-square tests were applied to find difference in knowledge groups (good vs poor) and practice (good vs poor) by demographic characteristics. Independent sample ttest and one-way ANOVA analysis were performed in assessing any .....
    Document: Numerical variables were measured as mean and standard deviations while categorical variables were expressed as frequencies and percentages. Inferential statistics were applied depending upon nature of data and variables. Chi-square tests were applied to find difference in knowledge groups (good vs poor) and practice (good vs poor) by demographic characteristics. Independent sample ttest and one-way ANOVA analysis were performed in assessing any difference in mean attitude score by demographic characteristics. Pearson-rank correlation tests were applied to find any correlation between knowledge, attitude and practice sections. To find possible determinants of good knowledge and practice, a binary logistic regression analysis will be applied and expressed as odds ratio (OR) and 95% confidence interval (CI). A p value of less than 0.05 will be considered as significant in all tests.

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